Amazon S3 in your workflow, signed for you.

Presigned uploads and downloads, and objects read straight into a workflow — signing handled for you.

How Air Pipe reaches Amazon S3

Amazon S3 needs SigV4 request signing, which is the part nobody wants to hand-roll. The AWS action set handles the signature, so what you write is the operation and its parameters.

• - name: Presign aws: s3: bucket: a|ap_var::BUCKET| key: a|body::filename| presign: put expires_in: 900
• Route: AWS signed request
• Auth: SigV4

The same config is four things at once

Whatever you build against Amazon S3 is not locked to one surface. The same config can expose HTTP routes, run on a cron schedule, receive webhooks, and be called by an agent as an MCP tool — with one auth model and one deploy. You do not rebuild the workflow to make it callable, and you do not bolt an MCP node onto the end of a canvas.

• HTTP routes with OpenAPI docs generated from the config
• Cron schedules and webhooks in the same file as the API
• MCP tools with input schemas derived from the route's own assertions
• OpenTelemetry traces and Prometheus metrics on all of it

Readable config you own, managed or self-hosted

The artifact is a config you can read, diff and review in a pull request — not a canvas stored in a vendor's database. Run it on Air Pipe's managed cloud or self-host the single binary, with the same config either way, and your credentials and data staying on your infrastructure when you choose to self-host.

Frequently asked questions

• Is there a Amazon S3 connector I have to install? No. Amazon S3 is reached through a native action that ships with the engine — nothing to install, enable or version separately.
• Where do the credentials live? In managed variables or secrets, referenced from the config by name — never in the config text. Any action that mints a token should also carry hide_data_on_success: true, or the token comes back in the response body.
• Can an agent call this? Yes, and you do not build anything extra for it. Mark the interface mcp: true and the same route becomes an MCP tool, with its input schema derived from the assertions the route already carries. An agent calling it gets the same auth, the same validation and the same traces as an HTTP client.
• What do I get to see when it fails? An end-to-end OpenTelemetry trace covering the request, each action and each database call, Prometheus counters and durations on /metrics, and the run history for the deployment. None of it is written by you and none of it is a separate product.